[ACG54-04] The meso-scale connectivity of land and sea: an interdisciplinary study with big data science and artificial intelligence
Keywords:statistical causality, big data, deep learning
In this study, an interdisciplinary study with big data science and artificial intelligence is presented. Long-term, large-scale observations in terrestrial and marine environmental variables such as satellite data have been accumulated. Statistical analyses concerning causality for those big data will reveal realistic relationships between land and sea in a quantitative manner, instead of the ambiguous knowledge and stereotypes on the system. Moreover, thanks to the progress in artificial intelligence, a novel project of citizen science is now planned. Here, volunteers are encouraged to contribute to the project by using their smartphones. An AI will help volunteers to automatically identify objects, and it will speed up the accumulation of data among the land-sea system.